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What AI needs before it can act: why every industry needs a semantic layer

What AI needs before it can act: why every industry needs a semantic layer

Your Data Learning Adventure with Datavid
• 8 min
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In this episode of Your Data Learning Adventure with Datavid, I delve into the crucial role of a semantic layer in AI's evolution from merely answering questions to executing actions. As AI applications increasingly handle tasks like updating records and triggering workflows, they require a consistent understanding of enterprise data. A semantic layer provides this by establishing shared business definitions, relationships, and rules across systems. This foundation not only reduces conflicting interpretations and duplicated efforts but also supports scalable automation while maintaining human oversight. Join me as I explore how industries like manufacturing and logistics can benefit from this approach, drawing on insights from Datavid's work with Syngenta. Discover how a semantic layer can transform your AI initiatives into actionable insights. For more, visit datavid.com/free-assessment.